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ANALISIS POLA HASIL PENETRATION TESTING DENIAL OF SERVICE, MAN-IN-THE-MIDDLE,…
The Disaster Recovery Center (DRC) system ensures the availability of information services during incidents, but it remains vulnerable to cyber attacks such as DoS, MiTM, Brute Force, and SQL Injection. This study analyzes the patterns of penetration testing results on the DRC system using the K-Means Clustering method. Attack data is sourced from internal network simulations, involving preproc…
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- xv, 153 hlm.; ilus,; tab, 29 cm
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- T1836072025
ANALISIS PENGARUH KONDISI CUACA DAN JALAN TERHADAP KECELAKAAN LALU LINTAS MEN…
Penelitian ini menganalisis pengaruh cuaca dan kondisi jalan terhadap kecelakaan lalu lintas menggunakan K-Means, serta membandingkannya dengan Gaussian Mixture Model (GMM) dan Spherical K-Means. Data mencakup variabel cuaca, kondisi jalan, dan karakteristik kecelakaan 2018–2023. Hasilnya, cuaca hujan dan jalan basah meningkatkan risiko kecelakaan. GMM unggul dalam evaluasi metrik, tetapi K-M…
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- xv, 32 hlm.; ilus.; 29 cm
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- T1623352024
OPTIMASI LALU LINTAS KOTA PALEMBANG : ANALISA KEPADATAN KENDARAAN MENGGUNAKAN…
Traffic congestion in Palembang City is a major problem, especially during rush hour, which impacts travel efficiency and increases vehicle emissions. Traffic management that is not yet optimal in utilizing intelligent technology makes it difficult to handle dynamic conditions. This study aims to analyze and manage traffic in Palembang City with three methods: vehicle detection using YOLOv8, tr…
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- viii, 234 hlm.; ilus.; 29 cm
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- T1628542024
KLASIFIKASI PENGENALAN PENYAKIT COVID-19 PADA PARU-PARU BERDASARKAN DATA CITR…
Penyakit COVID-19 merupakan penyakit yang disebabkan oleh virus SARS-CoV-2. Salah satu cara untuk mendiagnosis penyakit COVID-19 adalah dengan menggunakan radiografi toraks. Namun, diagnosis dengan radiografi toraks membutuhkan tenaga ahli yang terlatih. Untuk mengatasi hal tersebut, penelitian ini mengusulkan metode klasifikasi pengenalan penyakit COVID-19 pada paru-paru berdasarkan data citra…
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- xv, 68 hlm.; Ilus.; 29 cm
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- T1394402024
VISUALISASI SERANGAN GERAKAN LATERAL (LATERAL MOVEMENT ATTACK) DENGAN MENERAP…
The lateral movement is one of the most crucial phases in an Advanced Persistent Threat (APT) attack, aiming to penetrate other resources and gain greater privileges within the target network. Attackers typically exploit social engineering techniques (such as phishing, pretexting, baiting) to deceive individuals within the network into running malicious code or surrendering credentials. This en…
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- xvi, 80 hlm.; Ilus.; 29 cm
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- T1380132023
PENERAPAN ALGORITMA K-MEANS UNTUK CLUSTERING DATA PENDUDUK MISKIN PER KABUPAT…
overty is a problem that exists in every region in Indonesia. There are many factors that cause poverty that influence the level of welfare of the population. Therefore, it is necessary to group data n the poor population of districts/cities to assist in policy decision making. This research uses the K-Means algorithm which is a technique in data mining. Grouping large amounts of data with rela…
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- xvii, 85 hlm.; Ilus.; 29 cm
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- T1413622024
IMPLEMENTASI PENYIMPANAN DATA VISUAL PERGERAKAN MAKHLUK HIDUP BERBASIS INTERN…
With the advancement of technology, the Internet of Things (IoT) has become a striking innovation, transforming human interaction with the environment. One intriguing application of IoT is in monitoring the movement of living organisms in nature. The movement of living organisms holds significant importance across various scientific disciplines, but traditional monitoring methods are often expe…
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- xiv, 46 hlm.; Ilus.; 29 cm
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- T1415482024
DETEKSI DAN LOKALISASI CITRA PRA-KANKER SERVIKS MENGGUNAKAN YOLOV7 DENGAN PEN…
This research discusses the implementation of the object detection method You Only Look Once (YOLO), capable of performing detection and localization in the form of object segmentation on an image. The input data consists of cervical pre-cancer images, which are processed into YOLO version 7 and YOLO version 8 models for detection and localization. There are four objects or classes to be detect…
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- xiii, 28 hlm.; ilus.; 29 cm
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- T1233302023
PENGENALAN KEPRIBADIAN MELALUI TULISAN TANGAN MENGGUNAKAN CONVOLUTIONAL NEURA…
A person's handwriting is different and unique, even though it looks similar it is certainly not the same as someone else's writing. One's personality traits can be identified based on handwriting. One of the implementations is (handwriting recognition). To identify a person's personality, it can be classified by handwriting using the 'Graphology' field. The computational system to identify han…
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- xvi, 65 hlm.; ilus.; 29 cm
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- T1309552023
KLASIFIKASI ABNORMALITAS JANTUNG ANAK DENGAN ARSITEKTUR CONVOLUTIONAL NEURAL …
This study aims to develop a classification model using Convolutional Neural Networks (CNN) architecture to identify heart abnormalities in children. In this study, binary and multi-class CNNs are used to process data from children's heart images and produce abnormality class predictions. The data used in this study comes from two categories: normal hearts and hearts with abnormalities. The res…
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- xiv, 102 hlm.; ilus.; 29 cm
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- T1052112023
ANALISIS UNIFORM RANDOM WEIGHT PADA IOTA VISUALIZATION.
IOTA is an innovative open-source distributed ledger technology designed to address the challenges posed by the Internet of Things (IoT) ecosystem. Unlike traditional blockchain architectures, IOTA utilizes a unique data structure known as the Tangle, a directed acyclic graph (DAG), to enable feeless and scalable transactions between IoT devices. This paper provides an in-depth exploration of t…
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- xvi, 68 hlm.; ilus.; 29 cm
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- T1261812023
PENERAPAN BLOCKCHAIN UNTUK MENGAMANKAN DATA PADA SISTEM SMART HOME.
The technology of the Internet of Things (IoT) has become an essential part of modern life, and its applications in various industries, including smart homes, are rapidly increasing. However, the security of smart homes has become a major concern due to their vulnerability to information theft, activity monitoring, data tampering, and information attacks. In this study, the author proposes a bl…
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- xv, 65 hlm.; Ilus.; 29 cm
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- T1041892023
VISUALISASI SERANGAN UDP FLOOD PADA LAYANAN INTERNET OF THINGS (IOT) MENGGUNA…
The Internet of Things (IoT) is a system for accumulating and transferring data on a physical device that is interconnected to the internet network in order to communicate with each other between devices with any destination the user wants, so that the system will not infrequently escaped from the threat of cyber attacks such as Denial of Service (DoS) UDP floods that could reduce the performan…
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- xiii, 27 hlm.; ilus.; 29 cm
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- T863842023
KLASIFIKASI DAN VISUALISASI ENAM KELAS ABNORMALITAS JANTUNG JANIN MENGGUNAKAN…
The use of Artificial Intelligence (AI) technology in healthcare has brought significant changes in recent years, particularly in disease diagnosis. Deep learning is a popular AI technique used in various fields, including healthcare, due to its ability to process complex data and recognize patterns that are difficult for humans to identify, potentially aiding in disease diagnosis. The methods …
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- xiv, 69 hlm.; ilus.; 29 cm
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- T1035212023
SEGMENTASI RUANG JANTUNG JANIN MENGGUNAKAN METODE YOLACT.
ABSTRACT Ultrasonography (USG) is a non-invasive medical procedure that uses high-frequency sound waves to produce pictures of the internal organs of the human body. This procedure can be used to examine various parts of the body, including the fetal heart. One technique for ultrasound examination of the fetal heart is through a four-chamber view which can help identify abnormalities in the fet…
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- xiii, 78 hlm.; ilus.; 29 cm
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- T1141282023
MULTIVARIATE IMPUTATION TANDA VITAL PASIEN UNIT PERAWATAN INTENSIF MENGGUNAKA…
Missing data is a common problem in vital sign datasets and is one of the most complex topics in computer science. The large number of missing values in the data makes it more difficult to process. Therefore, one way to address missing data is through imputation. Vital sign data imputation is the process of filling in missing or incomplete data in a patient's medical records. Machine learning f…
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- xiii, 64 hlm.; ilus.; 29 cm
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- T1044752023
ANALISIS PERBANDINGAN DETECTION TRAFFIC ANOMALY SERANGAN DDoS IPv4 DENGAN MET…
Anomaly traffic is a condition that results in an abnormality in network traffic. Anomaly detections is a monitoring to monitor the movement that occurs in the network system. DDoS attack or Distributed Denial of Service is a cyber attack by continuously sending fake traffic to a system or server. As a result, the server cannot manage all traffic, causing it to go down. In this research, traffi…
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- viii, 74 hlm.; ilus.; 29 cm
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- T924222023
PENERAPAN SISTEM PENENTUAN POSISI DALAM RUANGAN MENGGUNAKAN METODE FINGERPRIN…
Recently, wireless communication is growing rapidly, due to its practicality and the many features that have been developed along with current technological developments, especially features that can determine the position of subjects and objects using wireless methods such as Global Positioning System (GPS) and Location Based Services (LBS). This is an attraction because of its ease of use as …
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- xiii, 84 hlm.; ilus.; 29 cm
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- T1287872023
ANALISA BIG DATA PADA CLUSTER KOMPUTER MENGGUNAKAN KOMPUTASI TERDISTRIBUSI
Along with the development of the era of globalization, the use of technology has been very widespread in various industrial sectors, so data accumulates in a very fast time to grow into large-scale data called big data. The emergence of big data makes the formulation of optimization problems more complicated, because of the large volume and complexity of the data, therefore it is necessary to …
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- xvii, 84 hlm.; ilus.; 29 cm
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- T1308762023
DETEKSI TRANSAKSI ANOMALI PADA BLOCKCHAIN DENGAN MENGGUNAKAN METODE DEEP BELI…
In recent years, blockchain technology has found widespread applications across various domains, including cryptocurrency, financial services, and risk management. Cryptocurrency, in particular, has garnered significant attention from investors, regulators, and the media ever since Bitcoin was first proposed by Nakamoto. This research utilizes a Deep Belief Network (DBN) to detect patterns of a…
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- xiii, 61 hlm.; ilus.; 29 cm
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- T1308532023
DETEKSI TRANSAKSI ANOMALI PADA BLOCKCHAIN DENGAN MENGGUNAKAN METODE DEEP NEUR…
Blockchain is a digital data bank that stores transaction data transparently. With so much interest in bitcoin, making bitcoin wallets are an attractive target for hackers. This research uses the Deep Neural Network (DNN). The dataset consists of 13 columns, 30,246,808 normal transactions and 1,326 anomalous transactions. The dataset is balanced by oversampling and undersampling techniques. The…
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- xiii, 60 hlm.; ilus.; 29 cm
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- T1308542023
DETEKSI MALICIOUS URL PADA FILE BERBASIS FITUR LEKSIKAL MENGGUNAKAN METODE RA…
With the existence of attack models such as phishing and malware distribution, these actions begin by accessing a Uniform Resource Locator (URL) or files containing harmful links within them. A Uniform Resource Locator (URL) is a specific identifier used to locate resources through the internet. URLs can pose threats to availability, control, confidentiality, and data integrity, with one of the…
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- xiv, 80 hlm.; Ilus.; 29 cm
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- T1278062023
PENERAPAN LIBRARY PYTORCH3D PADA REKONTRUKSI JARINGAN TRANSVENTRIKULAR CITRA …
The reconstruction of two-dimensional images into three-dimensional using transventricular objects plays a crucial role in the medical field, particularly in the diagnosis and treatment within neurology. This research employs the Pytorch3D method to generate three-dimensional representations of transventricular image objects. The study begins by performing the segmentation process on the transv…
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- xiii, 54 hlm.; ilus.; 29 cm
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- T1309642023
ANALISIS DATA TIME SERIES UNTUK FORECASTING DATA CYBER ATTACK PADA HONEYPOT M…
Cyber Attack is a crime that attacks computer systems that can shut down or damage information technology services. Every act of attack will have an impact on gaining access to services, manipulating and various dangerous actions. There are various reasons why cyber attacks can occur, one of which is that there is still very little information about the predictability of cyber security. This st…
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- xiii, 67 hlm.; ilus.; 29 cm
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- T1298992023
OPTIMALISASI PERFORMA ALGORITMA CONVOLUTIONAL NEURAL NETWORK (CNN) DALAM PROS…
One of the threats to the internet network is botnet (robot network). although there are many methods used to detect botnet, but there are still less accurate. this can be seen from the results of accuracy, precision and others that differ greatly due to imbalanced datasets. This research examines the classification of botnet attacks and builds the best and accurate CNN model by optimizing the …
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- xvii, 95 hlm.; ilus.; 29 cm
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- T1298982023
PEMBAHRUAN SISTEM DETEKSI SERANGAN PORTSCAN BERBASIS LSTM DENGAN PENGIMPLEMEN…
Port Scanning attacks are quite dangerous attacks, this technique can map characteristics, detect open ports and even obtain important information on a network or host to then forward to further attacks. In an effort to protect the network security system against PortScan attacks, an attack system such as an Intrusion Detection System (IDS) is needed. The method used in this research is Unidire…
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- xvi, 120 hlm.; Ilus.; 21 cm
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- T1298902023
IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR DAN BAYESIAN OPTIMIZATION DALAM MEN…
The increase in the number of vehicles and the urban population has led to high levels of traffic congestion in urban areas. The focus of this research is to find the best alternative routes using various methods and algorithms to detect objects and determine the optimal paths in the city of Palembang. Object detection is carried out using the YOLOv3 method through video recording results, with…
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- xix, 103 hlm.; ilus.; 29 cm
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- T1291782023
AUTOMATIC TEXT SUMMARIZATION PADA SINOPSIS LAPORAN KECELAKAAN LALU LINTAS PER…
Automatic text summarizzation merupakan salah satu cabang dalam ilmu natural language processing (NLP) yang memiliki tujuan untuk merepresentasikan suatu teks yang panjang kemudian dikompresi sehingga dapat dibaca dan dipahami dengan mudah oleh pengguna. Penerapan algoritma Term Frequency - Inverse Document Frequency (TF-IDF) dalam automatic text summarization dapat menghitung skor dan bobot da…
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- xv, 54 hlm.; ilus.; 29 cm
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- 2307006393
PERBANDINGAN HASIL CLUSTER FUZZY C-MEANS DENGAN HYBRID FUZZY C-MEANS PARTICLE…
Algortima Fuzzy C-Means memberi kebebasan dalam hal jumlah cluster yang akan dibuat dan dapat melakukan clustering lebih dari satu variabel secara sekaligus. Pada kondisi awal, pusat cluster ini masih belum akurat. Tiap-tiap data memiliki derajat keanggotaan untuk tiap-tiap cluster. Dengan cara memperbaiki pusat cluster dan nilai keanggotaan tiap-tiap data secara berulang, maka akan dapat dilih…
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- xv,64 hlm.; Ilus.; 29 cm
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- T712492021
PENERAPAN DATA MINING DALAM PREDIKSI TINGKAT INDEKS PRESTASI MAHASISWA MENGGU…
The cumulative grade point or GPA is a student's academic achievement score which is calculated from all courses a student has passed. This study aims to design a web-based system that can predict the level of grade point average achieved by students using the SVM method which serves as a supporting material for making decisions about a program related to the level of student GPA. Sriwijaya Uni…
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- xvi, 58 hlm.; ilus.; 29 cm
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- T872782023
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